الصفحة 1
الصفحة 1
Object detection with deep learning models : Principles and applications
Discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval / A structured overview of deep learning in object detection / A diversified collection of applications of object detection using deep neural networks / Emphasize agriculture and remote sensing domains / Exclusive discussion on moving object detection
Intracranial Pressure and Brain Monitoring XII
88 short papers originating from the 12th International Symposium on Intracranial Pressure and Brain Monitoring held in August 2004 in Hong Kong present experimental as well as clinical research data on invasive and non-invasive intracranial pressure and brain biochemistry monitoring. The papers have undergone a peer-reviewing and are organized in nine sections: ICP management in head injury, neurochemical monitoring, intracranial hypertension, neuroimaging, hydrocephalus, clinical trails, experimental studies, brain compliance and biophysics.
Financial Modeling Under Non-Gaussian Distributions
Practitioners and researchers who have handled financial market data know that asset returns do not behave according to the bell-shaped curve, associated with the Gaussian or normal distribution. Indeed, the use of Gaussian models when the asset return distributions are not normal could lead to a wrong choice of portfolio, the underestimation of extreme losses or mispriced derivative products. Consequently, non-Gaussian models and models based on processes with jumps are gaining popularity among financial market practitioners.
eLearning and Digital Publishing
This book provides a framework which clearly portrays the relationships between information literacy, eLearning and digital publishing. The structure of the book has three main sections: the first has primarily an educational focus, the second a focus on digital publishing, and the third builds on the first two sections to examine overall implications for the growth of knowledge and scholarly communication.
Domain Decomposition Methods for the Numerical Solution of Partial Differential Equations
Domain decomposition methods are divide and conquer methods for the parallel and computational solution of partial differential equations of elliptic or parabolic type. They include iterative algorithms for solving the discretized equations, techniques for non-matching grid discretizations and techniques for heterogeneous approximations. This book serves as an introduction to this subject, with emphasis on matrix formulations. The topics studied include Schwarz, substructuring, Lagrange multiplier and least squares-control hybrid formulations, multilevel methods, non-self adjoint problems, parabolic equations, saddle point problems (Stokes, porous media and optimal control), non-matching grid discretizations, heterogeneous models, fictitious domain methods, variational inequalities, maximum norm theory, eigenvalue problems, optimization problems and the Helmholtz scattering problem. Selected convergence theory is included.
Digitization of healthcare data using blockchain
Gives a detailed description of the integration of blockchain technology for Electronic Health Records and provides the research challenges to consider in various disciplines such as supply chain, drug discovery, and data management. he aim of the book is to investigate the concepts of blockchain technology and its association with the recent development and advancements in the medical field. Moreover, it focuses on the integration of workflow strategies like NLP, and AI which could be adopted for boosting the clinical documentation and electronic healthcare records (EHR) usage by bringing down the physician EHR data entry. Also, the book covers the usage of smart contracts for securing patient records. Digitization of Healthcare Data Using Blockchain presents the practical implementations that deal with developing a web framework for building highly usable healthcare applications, a simple blockchain-powered EHR system.
Digital Holography and Three-Dimensional Display : Principles and Applications
Digital (or electronic) holography and its application to 3-D display is one of the formidable problems of evolving areas of high technology that has been receiving great attention in recent years. The realization of life-size interactive 3-D displays has been a seemingly unobtainable goal. Technology is not quite at that level yet, but advances in 3-D display now allow us to take important steps toward the achievement of this objective. The reader is presented with the state-of-the-art developments in both digital holography and 3-D display techniques. The book contains a large amount of research material as well as reviews, new ideas and insights that will be useful for graduate students, scientists, and engineers working in the field.
Computational drug discovery : methods and application
Covers a wide range of cutting-edge computational technologies and computational chemistry methods that are transforming drug discovery. The book delves into recent advances, particularly focusing on artificial intelligence (AI) and its application for protein structure prediction, AI-enabled virtual screening, and generative modeling for compound design. Additionally, it covers key technological advancements in computing such as quantum and cloud computing that are driving innovations in drug discovery.
Cancer drug safety and public health policy : A changing landscape
Description and analysis of recent developments and current trends in health policy with regard to cancer drug safety. Opens with an overview of pharmacovigilance for cancer blockbuster drugs, covering both general considerations and efforts to develop a structured framework for the identification and reporting of adverse drug reactions (ADRs). A number of important examples of serious ADRs to hematology and oncology drugs are then reviewed, with evaluation of the lessons learned and the policy implications of the ensuing legal cases and their settlements. Further, the difficulty of reporting such blockbuster side effects in the medical literature is explored in an empirical study. Significant advances have been achieved in analytic methods for the identification of ADRs, and here there is a particular focus on the value of optimal discriminant analysis. Finally, the impacts on pharmacovigilance and drug safety of the huge fines paid under the U.S. False Claims Act relating to the defrauding of governmental programs also receive careful attention – these fines are playing an important role in changing the landscape for pharmaceutical safety.
Algorithmic Aspects in Information and Management ; Second International Conference, AAIM 2006, Hong Kong, China, June 20-22, 2006, Proceedings
This book constitutes the refereed proceedings of the Second International Conference on Algorithmic Aspects in Information and Management, AAIM 2006, held in Hong Kong, June 2006. The book presents 34 revised full papers together with abstracts of 2 invited talks. The papers cover topics from areas such as online scheduling, game and finance, data structures and algorithms, computational geometry, optimization, graph, and string, and more.
